Luc Juggery

Your contribution for the evening 🌟: Griptape👇 Co-founded by Kyle Roche and Vasily Vasinov, Griptape is a modular open source framework that allows developers to build and deploy LLM-based agents, pipelines, and workflows. Here’s why you should contribute to this repo: 1️⃣ With over 1,500 stars, contributing to Griptape means you can gain exposure and hands-on experience with LLMs and modular framework design, enhancing your skills in highly sought-after areas. You will also join the Griptape community, which allows you to connect with like-minded developers and experts in the field, expanding your professional network and potentially opening doors to new opportunities and collaborations! 💪 2️⃣ The repo is more accessible. At Quira, we rank Developers by their DevRank (more on this here: https://lnkd.in/eNtrs97F). We found that the median developer working on the repo belongs to the 90th percentile of GitHub developers. For reference, many of the open source companies we reported on have had a median contributor level of ~95th percentile. This means that you have a real opportunity to make an impact. ⚡️ 3️⃣ Returning contributors are a good proxy for the health of a repo and your chances to make a meaningful impact. Impressively, close to 60% of contributors merge a second pull request. This means that if you enjoyed contributing the first time, chances are you'll come back for more. 😉 You can check more of their open-source stats on Quira (https://lnkd.in/eguqtcWD) or access the GitHub page: https://lnkd.in/gPRRfAi2 📖

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The #ApachePaimon PMC officially announces the release of Apache Paimon 0.9.0. This version was developed over the course of four months, with the participation of 80 contributors, resulting in more than 600 commits. Thank you to all contributors for your support! The community has decided that the next version will be 1.0, marking that most functionalities of Apache Paimon have become relatively mature and stable. Version Overview Paimon's long-term plan is to become a unified lake storage format that meets the main requirements for minute level #bigdata: offline batch computing, real-time stream computing, and OLAP computing. Notable changes in this version include: ✔Paimon Branch: The branch functionality is now officially production-ready, and the introduction of the ‘scan.fallback-branch’ feature helps to better unify stream and batch storage for businesses. ✔Universal Format: This version introduces native Iceberg compatibility. You can enable Iceberg compatibility mode, and Paimon will generate Iceberg-compatible snapshots in real-time, allowing you to use the Iceberg ecosystem to read this Paimon table. ✔Caching Catalog: This version introduces the implementation of Caching Catalog by default. Table metadata and manifest files will be cached in the catalog, which can accelerate OLAP query performance. ✔Improvements in Bucketed Append Table Availability: The small file issue has been significantly alleviated, and it can be applied to bucketed joins in Spark, reducing shuffles during joins. ✔Support for DELETE & UPDATE & MERGEINTO in Append Tables: This version introduces support for DELETE, UPDATE, and MERGE INTO in append tables. You can modify and delete records in append tables using Spark SQL, and it also supports Deletion Vectors mode. Read the full release announcement to learn more: https://lnkd.in/gaqrqwfh About Apache Paimon: A lake format that enables building a real-time lakehouse architecture with Flink and Spark for both streaming and batch operations. Innovatively combines lake format and LSM structure, bringing realtime streaming updates into the lake architecture. #BigData #OpenSource #DataEngineering #Streaming

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🚨 Looking for a powerful alternative to Kafka? ApachePulsar's unique architecture sets it apart in building event-driven applications. Watch Julien Jakubowski 🥑's #OSACon 2023 session and learn about its scalable processing power, exceptional message durability, and comprehensive use case coverage, rivaling #RabbitMQ and #Kafka with a single broker. #opensource https://lnkd.in/gMt72TUr

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Nicolas Fränkel 🇺🇦🇬🇪: "My demo of OpenTelemetry Tracing features two Spring Boot components. One uses the Java agent, and I noticed a different behaviour when I recently upgraded it from v1.x to v2.x. In the other one, I’m using Micrometer Tracing because I compile to GraalVM native, and it can’t process Java agents. In this post, I want to compare three methods: Java agent v1, Java agent v2, and Micrometer Tracing."

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In this first article of a new series on RAG, Josselin Thibault overviews the focus areas, including Technical Evolution and Core Components, Implementation Challenges, Advanced Topics and Future Directions. Directions.https://wix.to/X6dg5GC #newblogpost

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We're thrilled to release Kubernetes Explorer as part of our observability platform. It has powerful new features that enable teams to 𝘂𝗻𝗰𝗼𝘃𝗲𝗿 𝗿𝗼𝗼𝘁 𝗰𝗮𝘂𝘀𝗲𝘀 𝗮𝗻𝗱 𝘀𝗼𝗹𝘃𝗲 𝘁𝗵𝗲𝗺 𝗳𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗮𝗻 𝗲𝘃𝗲𝗿 𝗯𝗲𝗳𝗼𝗿𝗲: 👀 Kubernetes Hindsight: Gain historical visibility so teams can conduct retrospective analyses and performance optimizations in ephemeral container environments. 🗺️ Cluster Optimization: View a map of workload distribution across the Kubernetes cluster, enabling rapid identification of underutilized capacity and optimization of resources. 🔁 Resource Descriptors: Achieve comprehensive visibility into full YAML configurations of Kubernetes resources, maintaining deployment descriptor history for easy version comparison. Learn more in our NEW blog post: https://lnkd.in/gw3jnivi #KubernetesExplorer #AI #Kubernetes #observability

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🔧 Fantastic session on Kubectl plugins by Aurélie Vache (OVHcloud) & 👩‍💻 Gaëlle Acas (Doctolib) at #KubeCon! Want to supercharge your kubectl experience? Here's how to create & share custom plugins in minutes: 🎯 Key Takeaways: • Create plugins in Bash or Go to simplify complex kubectl commands • Use Krew as your plugin package manager • Share plugins globally or within your organization • Implement help messages for better user experience • Leverage private indices for team-specific plugins 💡 Pro Tips: • Go is recommended for production plugins (easy binary generation & CI/CD) • Focus on solving real productivity pain points • Use meaningful naming conventions • Include clear documentation • Test across multiple platforms 🛠️ Tools Highlighted: • Krew - The kubectl plugin manager • Example plugins: view-secret, each • Private plugin indices for enterprise use Ready to build your first kubectl plugin? Watch the full demo: https://lnkd.in/gJrE7SRy #Kubernetes #DevOps #CloudNative #CNCF #K8s #CloudComputing

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https://caxus.net/ 🚀Terraform and GitLab CI Pipelines: The Ultimate Solution for Infrastructure Management 🚀 1. Total Automation 🤖: With Terraform, you can define your infrastructure as code. This means you can create and manage all your cloud resources automatically and repeatably. 2. Seamless Integration ➡️: Thanks to GitLab CI/CD, every change you make in your code can be automatically reflected in your infrastructure. No more manual deployments prone to errors. 3. Security and Transparency 🔒: All changes in your infrastructure are recorded in your Git repository. This allows for total control and a transparent history of all modifications. 4. Continuous Development 🔄: With GitLab CI Pipelines, you can create pipelines that automatically validate, test, and deploy your Terraform configurations. It has never been easier to ensure that everything works as it should! 5. Guaranteed Scalability 📈: By using these tools, you can quickly scale your infrastructure to deal with traffic spikes or new features. 6. Cost Reduction 💸: By automating infrastructure management, you reduce human errors and optimize resource usage, resulting in lower operating costs. 7. Team Efficiency 🛠️: These tools allow your development and operations teams to work together efficiently, minimizing wait times and improving collaboration. 8. Flexibility and Adaptability 🧩: Adjust and evolve your infrastructure according to business needs without complications, all while using market best practices. 9. Recommended Tools 🛠️: Some tools that can help improve productivity are: VSCode for code editing, Terraform Cloud for remote state management, and Slack for quick and effective communication. At Caxus, we are experts in adopting AWS cloud solutions 🌩️. If you want to optimize your infrastructure using Terraform and GitLab CI Pipelines, contact us and let's take your business to the next level. Contact us by Whatsapp: https://buff.ly/4aSbAWy Contact us today for more information! [email protected] We’d love to discuss how we can save you proyect in the cloud. [email protected] #devops #GitLabCI #aws #automation #terraform #gitlabci #pipelines #caxus #gitlab #DominaTuIndustria #Collaboration #Efficiency #CloudAdoption #Seguridad #Optimizacion #LinkedIn #HerramientasDigitales #AprendizajeContinuo #work #growing #teamwork #creatividad #DevSecOps #machinelearning #security #devsecops #cloud #infrastructure #DataAnalytics #AgileInfrastructure #CloudAdoption #Caxus

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🔐🔍 Excited IT pros, buckle up! ⚡ Did you hear about the sneaky Python package fabrice lurking on PyPI for over THREE years? 🐍 It's been slyly swiping developers' AWS credentials while racking up THOUSANDS of downloads! 😱 What's the deal with fabrice ? ✨ Typosquatting its way through PyPI, pretending to be the trusted fabric library, just to snatch your AWS keys! Crafty move, but we're onto you! 👀 🔍 Why it matters: ✨ Cyber threats are evolving → Always stay vigilant! ✨ Trust but verify → Check those package sources! ✨ Your credentials are gold → Protect them like a dragon guards its treasure! 🐉 🔮 My prediction: ✨ We can expect a rise in package authenticity checks 🔍 and a deeper dive into verifying trust in the open-source community. Stay sharp, folks! 💪 Let's discuss: 🤔 How can we enhance package security in the wild Python landscape? Share your thoughts! 💬 #AINews #AutomatorSolutions #Cybersecurity #Python #AWS #PackageSecurity #TechTrends #StayVigilant 🛡️💻 #CyberSecurityAINews ----- Original Publish Date: 2024-11-07 03:04

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In this talk Sébastien Stormacq shows us how we can easily deploy an existing server-side Swift app to AWS Lambda with no code changes! Then you'll see how to deploy a native function to Lambda and finally how to use the SwiftPM plugin

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🚨 As we continue to refine our integration of Ory Corp with NestJS, our latest blog post by Edouard Maleix, focuses on one crucial aspect: configuring external services to make our setup as straightforward and adaptable as possible across all environments— be it self-hosted or cloud-based. 🗃 Reusable Configuration Files: We've introduced a method to create separate template configuration files for Ory Kratos and Ory Keto, which can be easily extended with environment-specific values. 💼 Organized and Accessible: By storing these configurations in an 'infra' directory and using a consistent naming convention for environment variables, we ensure that our setup remains organized and easily manageable. 💡 Flexibility and Efficiency: This approach not only simplifies the initial configuration process but also enhances the flexibility to adjust settings as per the deployment environment, ensuring efficient management across the board. This part of our blog provides practical insights into simplifying complex configurations, helping developers streamline their setup without compromising functionality or security. 🔗 Explore the detailed guide to configuring external services here: https://lnkd.in/dXsvXGqS #NestJS #Ory #CloudComputing #WebDevelopment #DevOps

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Managing configurations for the different environments (eg: staging, prod) in Kotlin Multiplatform: a blog post by Sujan Poudel 📖 Sujan shows how to manage configurations similar to Android flavours but for KMP. Read the blog post: https://lnkd.in/d46TjcUd --- Want to see more posts like this? Easy as 1, 2, 3: 1. Share information by sending a message to this page. 2. Donate satoshis on https://lnkd.in/g9hXqBgN 3. Share this post! Your KMD team 💜

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🚀 Why MIDLDEV Chooses Scaleway? For 2 years, Nicolas Ochem, founder of MIDLDEV, has trusted Scaleway to support their growing infrastructure: - Elastic Metal servers: Powerful, reliable, and cost-effective. - Kubernetes Kosmos: Seamlessly build clusters across EU regions. - Intuitive interface: Simpler and more efficient than the competition. - Sovereignty: Hosting in a French datacenter ensures compliance and peace of mind. 🙌 We’re proud to help businesses like MIDLDEV scale with flexible cloud solutions. Learn more about them: https://ow.ly/66Pn50Uu4k2

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🐳 #Docker or #Kubernetes? Join 📦️ Jérôme Petazzoni, Docker original dev advocate, for a deep dive into container technologies, managing Kubernetes across multiple providers, unexpected IaC challenges and more! Tune in to our latest episode now👇

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Deploy a Kafka 3 nodes Cluster in few minutes on OVHcloud multi-regions #multicloud #hybridCloud In this example, we'll deploy the Kafka in cluster Mode (KRaft - Apache Kafka Without ZooKeeper). Here we'll look at how to deploy 4 services with a single YAML file: - 3 controllers and brokers - 1 kafka-ui (web interface)

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